{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "#  This is a tutorial code for SLP interface \n",
    "from data.SLP_RD import SLP_RD\n",
    "import utils.vis as vis\n",
    "import numpy as np\n",
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "pycharm": {
     "is_executing": false,
     "name": "#%% \n"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "initializing SLP: 100%|██████████| 102/102 [00:01<00:00, 91.39it/s]\n"
     ]
    }
   ],
   "source": [
    "# init dataset \n",
    "class pseudo_opts:\n",
    "    SLP_fd = '/scratch/liu.shu/datasets/SLP/danaLab' # give your dataset folder here \n",
    "    sz_pch=[256, 256]\n",
    "    fc_depth = 50\n",
    "    cov_li = ['uncover']        # give the cover class you want here \n",
    "\n",
    "# SLP_rd_test = SLP_RD(pseudo_opts, phase='test')  # all test result\n",
    "SLP_rd_test = SLP_RD(pseudo_opts, phase='train')  # all test result\n",
    "\n",
    "# get image, joints and corresponding bounding box, this is frequently used to feed data to the data loader during training."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "pycharm": {
     "name": "#%% \n"
    }
   },
   "outputs": [],
   "source": [
    "idx = 271         # the index you want\n",
    "RGB, jtA, bbA = SLP_rd_test.get_array_joints(idx_smpl=idx, mod='RGB')\n",
    "depth, jtB, bbB = SLP_rd_test.get_array_joints(idx_smpl=idx, mod='depth')\n",
    "PM, jt_PM, bb_PM = SLP_rd_test.get_array_joints(idx_smpl=idx, mod='PM')      # image version  \n",
    "phyVec = SLP_rd_test.get_phy(idx=idx)\n",
    "hA, wA = RGB.shape[:2]\n",
    "hB, wB = depth.shape[:2] \n",
    "h_PM, w_PM = PM.shape[:2] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the joints of RGB 271 is\n",
      "[[241.87189374 833.52913453  -1.        ]\n",
      " [231.34233076 684.36032562  -1.        ]\n",
      " [250.64652956 535.19151671  -1.        ]\n",
      " [359.45201371 524.66195373  -1.        ]\n",
      " [447.19837189 626.44772922  -1.        ]\n",
      " [282.23521851 647.50685518  -1.        ]\n",
      " [124.29177378 426.38603256  -1.        ]\n",
      " [115.51713796 312.31576692  -1.        ]\n",
      " [212.03813196 236.85389889  -1.        ]\n",
      " [368.22664953 245.6285347   -1.        ]\n",
      " [406.83504713 364.96358183  -1.        ]\n",
      " [450.70822622 470.25921165  -1.        ]\n",
      " [280.48029135 229.83419023  -1.        ]\n",
      " [275.21550985 124.53856041  -1.        ]]\n",
      "the bounding box is\n",
      "[-141.68166238   54.239503    849.58868895  849.58868895]\n",
      "physical parameters are\n",
      "weight 68.7,  height 179.0, gender(1:male, 0:female) 1.0, bust 81.28,\twaist 91.44, hip 99.06， right upper arm 29.0， right lower arm 23.0， right upper leg 45.0， right lower leg 33.0\n"
     ]
    }
   ],
   "source": [
    "# resize for notebook readability \n",
    "h = 256 \n",
    "scal_RGB = h/hA \n",
    "RGB_rsz = cv2.resize(RGB, (int(wA * h /hA), h))\n",
    "scal_depth = h/hB\n",
    "depth_rsz = cv2.resize(depth, (int(wB * h /hB), h))\n",
    "depth_rsz_3c = np.stack((depth_rsz,)*3, axis=-1)\n",
    "scal_PM = h/h_PM\n",
    "PM_rsz = cv2.resize(PM, (int(w_PM*h/h_PM), h))\n",
    "PM_rsz_3c = np.stack((PM_rsz,)*3, axis=-1)\n",
    "img_cb_ori =  np.concatenate([RGB_rsz[...,::-1], depth_rsz_3c], axis=1)\n",
    "# show the bb of RGB and bbox \n",
    "\n",
    "print('the joints of RGB {} is'.format(idx)) \n",
    "print(jtA)\n",
    "print('the bounding box is') \n",
    "print(bbA)\n",
    "print('physical parameters are')\n",
    "print('weight {},  height {}, gender(1:male, 0:female) {}, bust {},\twaist {}, hip {}， right upper arm {}， right lower arm {}， right upper leg {}， right lower leg {}'.format(*phyVec.tolist()))\n",
    "\n",
    "# show raw images  \n",
    "# print('show raw RGB and depth images')\n",
    "# vis.ipyth_imshow(RGB_rsz[...,::-1])\n",
    "# vis.ipyth_imshow(depth_rsz)\n",
    "# print('the orig image pair without align') \n",
    "# vis.ipyth_imshow(img_cb_ori) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "pycharm": {
     "name": "#%% \n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# show skel, correct \n",
    "jt_RGB_rsz = jtA.copy() *scal_RGB\n",
    "jt_RGB_rsz[:,2] = 1\n",
    "img_skel = vis.vis_keypoints(RGB_rsz[:,:,::-1], jt_RGB_rsz, SLP_rd_test.skels_idx)\n",
    "vis.ipyth_imshow(img_skel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "pycharm": {
     "name": "#%% \n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# show PM skels  \n",
    "# PM_3c = np.stack((PM, )*3, axis=-1) \n",
    "PM_pseudo = cv2.applyColorMap(PM_rsz, cv2.COLORMAP_JET)     \n",
    "jt_PM_rsz = jt_PM*scal_PM\n",
    "jt_PM_rsz[:,2] = 1  # all visible \n",
    "img_skel = vis.vis_keypoints(PM_pseudo, jt_PM_rsz, SLP_rd_test.skels_idx) \n",
    "vis.ipyth_imshow(img_skel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# align to PM \n",
    "RGB2PM = SLP_rd_test.get_array_A2B(idx=idx, modA='RGB', modB='PM')\n",
    "RGB2PM = cv2.resize(RGB2PM, (int(84 * h /192), h))\n",
    "img_cb = np.concatenate([RGB2PM[...,::-1], PM_pseudo], axis=1)\n",
    "vis.ipyth_imshow(img_cb) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "get aligned image pair\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# align \n",
    "# get depth 2 RGB \n",
    "print('get aligned image pair') \n",
    "depth2RGB = SLP_rd_test.get_array_A2B(idx=idx, modA='depth', modB='RGB')\n",
    "depth2RGB = cv2.resize(depth2RGB, (int(wA * h /hA), h))\n",
    "depth2RGB_3c = np.stack((depth2RGB,)*3, axis=-1)\n",
    "img_cb = np.concatenate([RGB_rsz[...,::-1], depth2RGB_3c], axis=1)\n",
    "vis.ipyth_imshow(img_cb) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  },
  "pycharm": {
   "stem_cell": {
    "cell_type": "raw",
    "metadata": {
     "collapsed": false
    },
    "source": []
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
